{"action":"created","issue":{"url":"https://api.github.com/repos/rhiever/tpot/issues/452","repository_url":"https://api.github.com/repos/rhiever/tpot","labels_url":"https://api.github.com/repos/rhiever/tpot/issues/452/labels{/name}","comments_url":"https://api.github.com/repos/rhiever/tpot/issues/452/comments","events_url":"https://api.github.com/repos/rhiever/tpot/issues/452/events","html_url":"https://github.com/rhiever/tpot/issues/452","id":229785539,"number":452,"title":"Porting TPOT over to TensorFlow?","user":{"login":"rhiever","id":1719223,"avatar_url":"https://avatars3.githubusercontent.com/u/1719223?v=3","gravatar_id":"","url":"https://api.github.com/users/rhiever","html_url":"https://github.com/rhiever","followers_url":"https://api.github.com/users/rhiever/followers","following_url":"https://api.github.com/users/rhiever/following{/other_user}","gists_url":"https://api.github.com/users/rhiever/gists{/gist_id}","starred_url":"https://api.github.com/users/rhiever/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rhiever/subscriptions","organizations_url":"https://api.github.com/users/rhiever/orgs","repos_url":"https://api.github.com/users/rhiever/repos","events_url":"https://api.github.com/users/rhiever/events{/privacy}","received_events_url":"https://api.github.com/users/rhiever/received_events","type":"User","site_admin":false},"labels":[{"id":281818164,"url":"https://api.github.com/repos/rhiever/tpot/labels/enhancement","name":"enhancement","color":"84b6eb","default":true},{"id":281818165,"url":"https://api.github.com/repos/rhiever/tpot/labels/help%20wanted","name":"help wanted","color":"159818","default":true}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":13,"created_at":"2017-05-18T19:51:11Z","updated_at":"2017-05-26T15:48:43Z","closed_at":null,"body":"Please use this issue to discuss the possibility of porting TPOT over to TensorFlow.\r\n\r\nTensorFlow seems promising for speeding up the pipeline optimization procedure of TPOT. I've heard reports of 800-fold speedup on a single core. If this is true, we could probably drop multiprocessing support (which has been problematic) and move over to TensorFlow.\r\n\r\nHere's an example of TensorFlow for sklearn: https://github.com/tensorflow/tensorflow/blob/fa4ba830f437fdb9dc1085b4d68a3bab41a16e20/tensorflow/examples/learn/iris_with_pipeline.py"},"comment":{"url":"https://api.github.com/repos/rhiever/tpot/issues/comments/304317852","html_url":"https://github.com/rhiever/tpot/issues/452#issuecomment-304317852","issue_url":"https://api.github.com/repos/rhiever/tpot/issues/452","id":304317852,"user":{"login":"terrytangyuan","id":4269898,"avatar_url":"https://avatars0.githubusercontent.com/u/4269898?v=3","gravatar_id":"","url":"https://api.github.com/users/terrytangyuan","html_url":"https://github.com/terrytangyuan","followers_url":"https://api.github.com/users/terrytangyuan/followers","following_url":"https://api.github.com/users/terrytangyuan/following{/other_user}","gists_url":"https://api.github.com/users/terrytangyuan/gists{/gist_id}","starred_url":"https://api.github.com/users/terrytangyuan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/terrytangyuan/subscriptions","organizations_url":"https://api.github.com/users/terrytangyuan/orgs","repos_url":"https://api.github.com/users/terrytangyuan/repos","events_url":"https://api.github.com/users/terrytangyuan/events{/privacy}","received_events_url":"https://api.github.com/users/terrytangyuan/received_events","type":"User","site_admin":false},"created_at":"2017-05-26T15:48:43Z","updated_at":"2017-05-26T15:48:43Z","body":"@rhiever No I don't think that's feasible. I am thinking it would just be good to support existing TF Estimators (other people from Google and the community will open-source more estimators) in a similar fashion to supporting sklearn estimators. All the distributed logics are inside TF Estimators instead of in TPOT since those are hard to implement and maintain. TPOT would focus on providing genetic programming to both sklearn and TF Estimators. "}}
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